MIT World Peace University (MIT-WPU), Pune

M.Tech CSE (Data Science and Analytics) at MIT World Peace University (MIT-WPU), Pune

• The M.Tech Computer Science and Engineering (Data Science and Analytics) at MIT World Peace University (MIT-WPU), Pune is a 2-year postgraduate program designed to build advanced expertise in data engineering, statistical analysis, and intelligent data-driven decision making.

• The program emphasizes big data technologies, machine learning, advanced analytics, and research-oriented learning, preparing graduates for high-end analytics, data science, and research roles.

M.Tech Computer Science and Engineering (Data Science and Analytics) – Course Details

• Duration: 2 Years (4 Semesters)

• Eligibility: Minimum 50% aggregate in B.Tech / BE Computer Science / IT / allied disciplines

• University: MIT World Peace University (MIT-WPU), Pune

• Course Fee (Per Year): ₹ 2,25,000

M.Tech Computer Science and Engineering (Data Science and Analytics) – Course Structure

• The curriculum focuses on advanced data analytics, machine learning models, and big data processing.

Career Scope after M.Tech Computer Science and Engineering (Data Science and Analytics)

• Graduates are prepared for data-intensive, analytical, and research-oriented careers.

Job Profiles & Key Responsibilities

• Data Scientist: Analyze and model complex datasets

• Data Analyst: Extract insights for strategic decision making

• Big Data Engineer: Design and manage large-scale data systems

• Machine Learning Engineer: Build predictive and analytical models

• Research Analyst: Conduct advanced data-driven research

Career Sectors

• IT & Software Development Companies

• Data Analytics & Consulting Firms

• Banking, Finance & FinTech Organizations

• Healthcare & Research Institutions

• E-commerce & Technology Companies

Why Choose M.Tech CSE (Data Science and Analytics) at MIT-WPU?

• Industry-relevant curriculum in data science and analytics

• Hands-on training with big data tools and platforms

• Strong focus on research, projects, and internships

• Guidance from experienced faculty and industry experts

• Excellent career opportunities in high-growth data domains